New York City Department of Transportation · 2 days ago

Senior Data Scientist

New York, NY

Full-time

Hybrid

Senior Level

Wonder how qualified you are to the job?

Maximize your interview chances

Association

Insider Connection @New York City Department of Transportation

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Lead a team of data scientists/analysts and perform research and analysis activities related to bike share and shared mobility services.

Conduct economic research and studies involving estimates and forecasts regarding transportation-share services.

Collect, classify, evaluate, and analyze data to develop predictive models and prepare reports based on databases underlying the systems.

Monitor vendor compliance with regulations, policies, and contract terms.

Establish and monitor best practices, policies, procedures, and documentation around bike share and shared mobility data.

Plan, design, maintain, and support internal databases.

Communicate technical issues to technical and non-technical audiences.

Serve as the primary technical liaison to micro mobility vendors and data management providers.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Physical ScienceBiological ScienceEnvironmental ScienceSocial ScienceProblem-SolvingSupervisoryAdministrativeSQLPythonPandasGeopandasData visualizationPysparkPowerBIJavaScriptLeafletFoliumTransportation planningLogisticsBike shareMicro mobilityCyclingPublic sectorPolicy analysisTailoring data analysisCommunicationAdaptability

Required

A master's degree from an accredited college or university with a specialization in an appropriate field of physical, biological or environmental science or in public health.

A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or

A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or

Education and/or experience which is equivalent to '1' or '2' above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in '2' above.

Preferred

Experience working with large datasets using SQL and proficiency in Python, which may include pandas and/or geopandas.

Supervisory experience inclusive of project management/delivery experience.

Demonstrated experience producing clear and effective data visualizations.

Experience explaining complex, nuanced analyses to nontechnical and unacquainted audiences.

Familiarity with pyspark.

Experience with PowerBI and/or JavaScript, including leaflet, or the folium package in Python.

Demonstrated experience or interest in transportation planning, logistics, bike share, micro mobility, cycling, and working with or in the public sector.

Strong communication skills and demonstrated ability to effectively synthesize and distill complex analyses into plain language for planners and policymakers.

Ability to relate complex trends in the data to larger policy issues.

Being able to work with the operations and planning team to tailor data analysis and products to their needs.